• The Korean Journal of Ecology
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• v.15 no.2
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• pp.191-200
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• 1992

Dictyostelid cellular slime molds isolated quantitatibly from the oils of evergreen broad-leaved forest and moist grassland of mt. halla in korea. nineteen species were found, including four undescribed species. species underscribed in korea are dictyostelium aureum var. aureum, d. crassicaule, d. monochasioides, and polysphondylium tenuissimum. Among these isolates, d. crassicaule and d. monochasioides were found only in evergreen broad-leaved forest, and p.tenuissimum was commonly found in moist grassland and meadow. in warn temperate regions investigated, d. mucoroides occurred rarely. It was noticeadle that d. sphaerocephalum, d. aureum var. aureum and d. purpureum were much more commonly found in warm temperate region. Species diversity in evergreen broad-leaved forest was the highest among the forests investigated until now in korea. Many isolates in mt. halla distributed differently in relation to the vegetations and altitudes. distritution patterns of isolates from mt. halla were discussed.

• Korean Journal of Environment and Ecology
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• v.25 no.4
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• pp.590-600
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• 2011

The research was carried out for prediction of the potential habitats of warm-temperate evergreen broad-leaved trees under the current climate(1961~1990) and three climate change scenario(2081~2100) (CCCMA-A2, CSIRO-A2 and HADCM3-A2) using classification tree(CT) model. Presence/absence records of warm-temperate evergreen broad-leaved trees were extracted from actual distribution data as response variables, and four climatic variables (warmth index, WI; minimum temperature of the coldest month, TMC; summer precipitation, PRS; and winter precipitation, PRW) were used as predictor variables. Potential habitats(PH) was predicted 28,230$km^2$ under the current climate and 77,140~89,285$km^2$ under the three climate change scenarios. The PH masked by land use(PHLU) was predicted 8,274$km^2$ and the proportion of PHLU within PH was 29.3% under the current climate. The PH masked by land use(PHLU) was predicted 35,177~45,170$km^2$ and increased 26.9~36.9% under the three climate change scenarios. The expansion of warm-temperate evergreen broad-leaved trees by climate change progressed habitat fragmentation by restriction of land use. The habitats increase of warm-temperate evergreen broad-leaved trees had been expected competitive with warm-temperate deciduous broadleaf forest and suggested the expand and northward shift of warm-temperate evergreen broad-leaved forest zone.

• Journal of Environmental Science International
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• v.21 no.2
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• pp.135-144
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• 2012

This study aims at classifying and analyzing the vegetation structure of Castanopsis sieboldii forest, one of the evergreen broad-leaved forests found under the warm-temperate climate of Korea. It is also compared with the ones of the Castanopsis sieboldii forest in Japan where most similar such forest of Korea, to find unique vegetation structures of the only Korean forest. Vegetation structure of Korean Castanopsis sieboldii forest was divided into two units at the level of community units both of Ardisia japonica-Castanopsis sieboldii community and Ardisio-Castanopsietum sieboldii association. The association carries similar type with the vegetation system of Japan, but any subunits differentiated with the Japan were found vary much. Hierarchical cluster analysis brings in similar result with the analysis on the vegetation structure as well.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2009.10a
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• pp.46-46
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• 2009

• Korean Journal of Environment and Ecology
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• v.18 no.2
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• pp.231-235
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• 2004

Landsat satellite images were analyzed to study vegetation change patterns of warm-temperate forests from 1991 to 2002 in Wando. For this purpose, Landsat TM satellite image of 1991 and Landsat ETM image of 2002 were used for vegetation classification using ENVI image processing software. Four different forest types were set as a classification criteria; evergreen broadleaf, evergreen conifer, deciduous broadleaf, and others. Unsupervised classification method was applied to classily forest types. Although it was impossible to draw exact forest types in rocky areas because of differences in data detection time and rough resolution of image, 2002 data revealed that total 2,027ha of evergreen broadleaf forests were growing in Wando. Evergreen broadleaves and evergreen conifers increased in total areas compared to 11 years ago, but there was sharp decrease in deciduous broadleaves. GIS-based management system for warm-temperate forest was done using Arc/Info. Geographic and attribute database of Wando such as vegetation, soils, topography, land owners were built with Arc/Info and ArcView. Graphic user interface which manages and queries necessary data was developed using Avenue.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.16 no.3
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• pp.19-30
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• 2013

This study was proposed to adaptable species according to climate change using warmth index(WI) in Cheonan-Si. RCP 8.5 was used to estimate change of warmth index(WI) depending on climate change in Cheonan-Si. Climatic change of Cheonan-Si was estimated to change from cool temperate forest central zone to warm temperate forest zone. The following plant species will survive within WI change of Cheonan-Si from 2010 to 2050 : 18 species in the tree layer including Quercus serrata, Q. variabilis, Pinus densiflora, Q. acutissima etc.; 28 species in the shrub layer including Rhus trichocarpa, Lindera obtusiloba, Zanthoxylum schinifolium etc.; 24 species in the herb layer including Oplismenus undulatifolius, Carex lanceolata, etc.; 12 species in the vine plants including Smilax china, Cocculus trilobus, etc.

• Journal of Environmental Science International
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• v.31 no.11
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• pp.901-910
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• 2022

The aim of this study was to investigate the amount (i.e., retention volume) and chemical composition of Natural volatile organic compounds (NVOCs) across different sites in a temperate forest. The three forest sites that were considered include riparian zones (site 1), streams (site 2), and densely-canopied areas (site 3). From May to October 2021, a mini pump was used to measure the collected NVOCs. These measurements were conducted once a month, from 10:30 am to 11:30 am; these times encompass peak visitation times. In the tree layers of the site 1 and 2, Quercus acuta was dominant, whereas Camellia japonica dominated their subtree layers. On the other hand, the tree layer of site 3 was dominated by Castanopsis sieboldii, whereas Camellia japonica dominated its subtree layer. The retention volume and chemical composition of NVOCs was as follows: benzaldehyde (107.528ppm), α-pinene (37.868ppm), linalool (16.258ppm), eucalyptol (14.818ppm), and sabinene hydrate (14.679ppm). In particular, the retention volume of benzaldehyde decreased as temperature increased. In contrast, the retention volume of α-pinene increased as the temperature increased. The differences in forest topography across the studies sites were in the following order: riparian area> forest area> stream area.

• Korean Journal of Agricultural and Forest Meteorology
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• v.14 no.4
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• pp.236-245
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• 2012

This research was performed to analyze growth performance and pattern of eighteen families of hinoki cypress (Chamaecyparis obtusa), which were imported in Jeju region. The growths of 'Yako-7', 'Muei-1', and 'Sangsong-9' families were superior to other families whereas those of 'Sanguen-3', 'Yago-6', and 'Hyena-2' families were poor. The height growth between age 9-year to 15-year was superior to those between other ages. No specific growth pattern was observed in the diameter at breast height (DBH) by ages. Family heritability of height, DBH, and volume were estimated at 0.68, 0.75, and 0.75, respectively. Pearson's correlation analysis showed that there was little juvenile-mature correlation in the growth of C. obtusa.

• Journal of Ecology and Environment
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• v.38 no.4
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• pp.485-491
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• 2015

This study was conducted to develop stem volume models for the volume estimation of Quercus glauca Thunb. in Jeju Island, Republic of Korea. Furthermore, this study validated the developed stem volume models using an independent dataset. A total of 167 trees were measured for their diameter at breast height (DBH), total height and stem volume using non-destructive sampling methods. Eighty percent of the dataset was used for the initial model development while the remaining 20% was used for model validation. The performance of the different models was evaluated using the following fit statistics: standard error of estimate (SEE), mean bias absolute mean deviation (AMD), coefficient of determination (R²), and root mean square error (RMSE). The AMD of the five models from the different DBH classes were determined using the validation dataset. Model 5 (V = aD^bH^c), which estimates volume using DBH and total height as predicting variables, had the best SEE (0.02745), AMD (0.01538), R² (0.97603) and RMSE (0.02746). Overall, volume models with two independent variables (DBH and total height) performed better than those with only one (DBH) based on the model evaluation and validation. The models developed in this study can provide forest managers with accurate estimations for the stem volumes of Quercus glauca in the subtropical forests of Jeju Island, Korea.

• Journal of Korean Society of Forest Science
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• v.103 no.4
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• pp.599-604
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• 2014

This study was conducted to analyze the ecological environment of the 53 uninhabitable islands of Jeju for the management formulation. The result of the Pearson correlation analysis were 0.647(p<0.01) for herbs, 0.585(p<0.01) for trees and 0.762 (p<0.01) for animals which means that there is a high correlation between the size of the forests in the uninhabitable islands and the species diversity of herbs, trees and animals. For the regression modeling to predict the forest area, the R value was 0.899 and the $R^2$ was 0.803 with 79.7% statistical significance. This study also classified the uninhabited islands based on its forest area into two classes, with a forests area of 0.5ha and with a forest of approximately 12ha. The importance value of the biodiversity in the uninhabited islands was also evaluated using DEA and the islands with higher importance, namely DMU14(0.941), DMU36(0.964), DMU44(1.000) and DMU45(0.903) were recommended to be managed. It was observed that uninhabited islands with forests had a mean importance value of 0.439 which is higher as compared to the uninhabited islands without forests with 0.096. This verified that there is close relationship between forest and biodiversity.